Yutaka Shimizu (purewater0901)

purewater0901

Geek Repo

Company:University of California, Berkeley

Location:Berkeley, CA

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Yutaka Shimizu's starred repositories

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

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autoware

Autoware - the world's leading open-source software project for autonomous driving

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stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

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Deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

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slam

learning SLAM,curse,paper and others

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TD3

Author's PyTorch implementation of TD3 for OpenAI gym tasks

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d3rlpy

An offline deep reinforcement learning library

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CORL

High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

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waymax

A JAX-based simulator for autonomous driving research.

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pytorch-soft-actor-critic

PyTorch implementation of soft actor critic

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metadrive

MetaDrive: Open-source driving simulator

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ukf

Unscented Kalman Filter library for state and parameter estimation

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deep-learning-from-scratch-4

『ゼロから作る Deep Learning ❹』(O'Reilly Japan, 2022)

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trajdata

A unified interface to many trajectory forecasting datasets.

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tdmpc2

Code for "TD-MPC2: Scalable, Robust World Models for Continuous Control"

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deep-learning-from-scratch-5

『ゼロから作る Deep Learning ❺』(O'Reilly Japan, 2024)

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IDQL

Repo for Implicit Diffusion Q-Learning

proj-svg_mppi

[ICRA2024] Stein Variational Guided Model Predictive Path Integral Control: Proposal and Experiments with Fast Maneuvering Vehicles

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ReBRAC

Author's implementation of ReBRAC, a minimalist improvement upon TD3+BC

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MCQ

Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)

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DOGE

The official implementation of "When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning" (ICLR2023)

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Non-Gaussian_Risk-Bounded_TrajOpt

Non-Gaussian Risk Bounded Trajectory Optimization for StochasticNonlinear Systems in Uncertain Environments

geometric-parallel-parking

Geometric path planning for automatic parallel parking

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mppi_playground

Model Predictive Path Integral Control (MPPI) with PyTorch

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ReBRAC

Author's implementation of ReBRAC, a minimalist improvement upon TD3+BC

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CPP_Convex_Hulls

This Git repository provides functionality for processing and manipulating Convex Hulls. The code can parse a JSON file containing Convex Hulls data and eliminate overlapping Convex Hulls based on a user-defined overlap threshold. The resulting Convex Hulls are then written to a new JSON file.

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